Hybridize Machine Learning Methods and Optimization Techniques to Analyze and Repair Welding Defects via Digital Twin of Jidoka Simulator by Ahmed M. Abed, Tamer S. Gaafar

“…Hybridising the Random-Forest algorithm with Dingo optimisation and called Regulated Random Forest (RRF) to precisely identify defect clusters and then predict the welding defect growth rate (<inline-formula> <tex-math notation="LaTeX">$\boldsymbol {{R}_{s}}$ </tex-math></inline-formula>) using the Cat-boost optimiser, which is enhanced by a beetle search mechanism called CatBAS. …”
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Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

“…Our robustness result is tight, in the sense that all stabilizing policies are recovered as the <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_{p}$</tex-math></inline-formula> -gain of the model mismatch operator is reduced to zero. …”
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Robust and Sparse Kernel-Free Quadratic Surface LSR via L_2,p-Norm With Feature Selection for Multi-Class Image Classification by Yongqi Zhu, Zhixia Yang, Junyou Ye, Yongxing Hu

“…In this study, a framework approach is introduced for the multi-classification problem based on the <inline-formula> <tex-math notation="LaTeX">$L_{2,p}$ </tex-math></inline-formula>-norm, utilizing more general loss functions and regularization terms, which is a robust sparse kernel-free quadratic surface least squares regression (RSQSLSR). …”
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Nonlinearity-Induced Spur Analysis in Fractional-<italic>N</italic> Synthesizers With &#x0394;&#x03A3; Quantization Cancellation by Yizhe Hu, Weichen Tao, Robert Bogdan Staszewski

“…This approach serves as a thorough guide for choosing a low-jitter fractional-N architecture, considering the integral nonlinearity (INL) shaping of DTCs (or DACs) under the control of either a first- or second-order <inline-formula> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula> modulator (DSM). …”
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Subthreshold Kink Effect in Gate-All-Around MOSFETs Based on Void Embedded Silicon on Insulator Technology by Yuxin Liu, Qiang Liu, Jin Chen, Zhiqiang Mu, Xing Wei, Wenjie Yu

“…In particular, the SS of the device reaches the minimum ~0.1mV/dec with no discernable hysteresis window at <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm { d}} {=} 4.5$ </tex-math></inline-formula>V under ambient condition. …”
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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Features used for WBC classification were determined through three experiments, resulting in a final selection of 108 features combining intensity histogram, hue saturation value, and CIE La<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula>b<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula> features. …”
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Design Optimization of a 3-PUU Parallel Machine for Friction Stir Welding Robots by Eka Marliana, Latifah Nurahmi, Arif Wahjudi, I. Made Londen Batan, Guowu Wei

“…This paper focuses on the design and optimization of a 3-PUU parallel machine to achieve an optimal configuration based on performance indices, specifically the Local Conditioning Index (LCI) and the dynamic isotropy index (<inline-formula> <tex-math notation="LaTeX">$d_{1}$ </tex-math></inline-formula>). Initially, a design space atlas was created, mapping both LCI and <inline-formula> <tex-math notation="LaTeX">$d_{1}$ </tex-math></inline-formula> were identified. …”
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Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation by Sandeep Kumar Rachamadugu, T. P. Pushphavathi, Surbhi Bhatia Khan, Mohammad Alojail

“…The above results of the topic-level analysis indicate that PCC-LDA consistency topics perform better than LDA and NMF(non-negative matrix factorization Technique) by at least 15.4%,12.9%(<inline-formula> <tex-math notation="LaTeX">$k = 5$ </tex-math></inline-formula>) and up to nearly 12.5% and 11.8% (<inline-formula> <tex-math notation="LaTeX">$k = 10$ </tex-math></inline-formula>) respectively, where k represents the number of topics.…”
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Balancing Profit and Cultural Heritage: Multi-Objective Dynamic Pricing for Hanfu Using Deep Deterministic Policy Gradient by Qingcong Zhao, Guanghui Mao, Shen Wang

“…After 3,000 iterations, its Generation Distance (GD) reached 0.023 and the Diversity Metric <inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula> was 0.594, whereas GD and Diversity Metric <inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula> values remained larger for MOPSO and MOHPSO. …”
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Robust Identification of Vegetation Change Using Shapelet-Based Temporal Segmentation of Landsat Time-Series Stacks: A Case Study in the Qilian Mountains by Lipeng Jiao, Randolph H. Wynne

“…Applied across the entire Qilian Mountains, it outperformed LandTrendr with 99.5&#x0025;<inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula>0.4&#x0025; accuracy. …”
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Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries by Sadiqa Jafari, Jisoo Kim, Wonil Choi, Yung-Cheol Byun

“…This resulted in an <inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula> value of 0.987, MAE of 0.02559, MSE of 0.0013, and RMSE of 0.00624. …”
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Integrated Spatiotemporal Hybrid Solar PV Generation Forecast Between Countries on Different Continents Using Transfer Learning Method by Bowoo Kim, Kaouther Belkilani, Gerd Heilscher, Marc-Oliver Otto, Jeung-Soo Huh, Dongjun Suh

“…Additionally, transfer learning experiments revealed up to a 50.6 % enhancement in R<inline-formula> <tex-math notation="LaTeX">$^{2}_{\mathrm {adj}}$ </tex-math></inline-formula> across different plant scales. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Nano, and <inline-formula> <tex-math notation="LaTeX">$2.5\times $ </tex-math></inline-formula> faster on Orin Nano. …”
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Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

“…Notably, our model incorporates <inline-formula> <tex-math notation="LaTeX">$t_{OC}$ </tex-math></inline-formula> dependency, which was not considered in previous models, and accurately analyzes transistor size effects through integration with Pelgrom&#x2019;s equation. …”
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Progressive Bitwidth Assignment Approaches for Efficient Capsule Networks Quantization by Mohsen Raji, Amir Ghazizadeh Ahsaei, Kimia Soroush, Behnam Ghavami

“…Specifically, on the CIFAR-10 dataset using the DeepCaps architecture, we achieved a substantial memory reduction (<inline-formula> <tex-math notation="LaTeX">$7.02\times $ </tex-math></inline-formula> for weights and <inline-formula> <tex-math notation="LaTeX">$3.74\times $ </tex-math></inline-formula> for activations) with a minimal accuracy loss of only 0.09%. …”
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Pac-Man-Shaped Patch-Driven Broadband Circularly Polarized Metasurface Antenna With CMA-Based Quadruple-Mode Excitation by Deepak K. Naik, Dhruba Charan Panda, Rajanikanta Swain, Arjuna Muduli, Sambhudutta Nanda

“…For a quadruple-mode excitation, the antenna uses a unique pac-man-shaped patch (PSP) as the primary CP radiator and above it a <inline-formula> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> sized rectangular MTS, which acts as the secondary radiator. …”
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Design of Integrated Hybrid Configuration of Modular Multilevel Converter and Marx Generator to Generate Complex Waveforms for Dielectric Testing of Grid Assets by Dhanashree Ashok Ganeshpure, Thiago Batista Soeiro, Mohamad Ghaffarian Niasar, Nitish Milind Kulkarni, Pavol Bauer, Peter Vaessen

“…The concept of this new hybrid configuration is demonstrated with a scaled-down prototype where the impulse with a rise time of 1 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>s is superimposed on different arbitrary wave shapes. …”
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A Novel Algorithm for Aspect Ratio Estimation in SRAM Design to Achieve High SNM, High Speed, and Low Leakage Power by Sanket M. Mantrashetti, Arunkumar P Chavan, Prakash Pawar, H. V. Ravish Aradhya, Omkar S. Powar

“…The inclusion of precharge and write driver circuits allows for a compact SRAM layout, occupying <inline-formula> <tex-math notation="LaTeX">$9.79~\mu $ </tex-math></inline-formula> m², with the SRAM cell itself occupying <inline-formula> <tex-math notation="LaTeX">$4.1~\mu $ </tex-math></inline-formula> m². …”
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A Readout Scheme for PCM-Based Analog In-Memory Computing With Drift Compensation Through Reference Conductance Tracking by Alessio Antolini, Andrea Lico, Francesco Zavalloni, Eleonora Franchi Scarselli, Antonio Gnudi, Mattia Luigi Torres, Roberto Canegallo, Marco Pasotti

“…Based on several MAC operations, the estimated <inline-formula> <tex-math notation="LaTeX">$512\times 512$ </tex-math></inline-formula> matrix-vector-multiplication (MVM) accuracy is 97.4%, whose decrease in time is less than 3% in the worst case.…”
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Linear-Rotary Position Control System With Enhanced Disturbance Rejection for a Novel Total Artificial Heart by Rosario V. Giuffrida, Andreas Horat, Dominik Bortis, Tim Bierewirtz, Krishnaraj Narayanaswamy, Marcus Granegger, Johann W. Kolar

“…The experimental measurements show successful linear-rotary position tracking under the specified axial load, with a maximum error of 1 mm and 5<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>.…”
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